Evidence map›Paper›PMID 42884023›Full record

ArticleInternational journal of molecular sciences2026

Cell Tropism-Related Gene Signatures in MDD Identified by Transcriptomic Analysis and Rat Model Validation.

Jie Min, Rongrong Jiang, Qiuyue Xu, Yu Chen, Qianyu Han, Chuanlin Yang, Lin Lin, Guihua Xu

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jie MinSchool of Nursing, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Rongrong JiangSchool of Nursing, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Qiuyue XuSchool of Nursing, Nanjing University of Chinese Medicine, Nanjing 210023, China.ORCID 0000-0002-2237-9790
Yu ChenSchool of Nursing, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Qianyu HanSchool of Nursing, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Chuanlin YangSchool of Nursing, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Lin LinSchool of Nursing, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Guihua XuSchool of Nursing, Nanjing University of Chinese Medicine, Nanjing 210023, China.ORCID 0009-0002-2623-4991

Funding

Jiangsu Province Postgraduate Innovation and Practice Program 26CXJH3682National Natural Science Foundation of China 82305144
6 · The paper itself

Abstract

Major depressive disorder (MDD) is associated with immune dysregulation, but the contribution of chemotaxis-related genes remains incompletely understood. This study aimed to identify chemotaxis-related signatures in MDD and evaluate their diagnostic relevance. Two peripheral-blood microarray datasets (GSE76826 and GSE38206) were integrated after batch correction, and differentially expressed genes were intersected with the GOBP_TAXIS gene set. Hub genes were selected using random forest and SVM-RFE and evaluated by logistic regression, ROC, calibration, and decision curve analyses. Immune-cell abundance, molecular subtypes, single-nucleus expression, and in silico gene-knockout effects were further examined, followed by qRT-PCR and Western blot validation in a CUMS rat model. The integrated cohort included 21 controls and 29 MDD cases. GOBP_TAXIS activity was increased in MDD (

Indexed as

Gene Expression ProfilingMajor Depressive DisorderTranscriptomeAnimalsChemotaxisDisease Models, AnimalHumansMaleRatsbiomarkerschemotaxismachine learningmajor depressive disorderneuroinflammation

Identifiers

PMID42884023
PMCPMC13664878

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.